Senior C++/Go Engineer

Department Description

Video Solutions teams in R&D center in Krakow have been growing dynamically since 2019. Currently, we have more than 190 specialists on board working on solutions for cameras, video analytics, video management systems as well as access control. We bring advanced video and analytics capabilities to public safety and commercial customers including healthcare, airports, retail, critical infrastructure and public venues. Video is no longer reactive – looking back at what has taken place – but it also informs proactively, issuing alerts in real-time when a person, object or vehicle appears or a perimeter is crossed. This critical intelligence empowers users to take prompt and appropriate action. Check out these pages to learn more: https://www.avigilon.com/ https://www.youtube.com/watch?v=CA-OvPiYGFo

Responsibilities:

• Develop production quality software for real-time multi-core embedded Linux devices

• Design and implement sophisticated scalable multi-threaded Object Oriented Software in following modern design patterns

• Optimize algorithms and system to ensure real time performance

• Maintain and improve firmware build systems using CMake, Docker, and Python Job

• Write unit tests, automated feature tests to assure product quality

• Work with Quality Assurance team on identifying test cases for new features and areas for regression tests

• Collaborate with our Research team in implementing computer vision and machine learning apps on hardware

Basic requirements:

• Practical experience either in modern C++

• Experience writing multi-threaded, multi-process software for embedded Linux systems

• Experienced developing test harnesses for unit testing and regression testing

• Experience with scripting languages (esp. Python)

• Willingness to work from the office 2 days per week.

• English language skills at level allowing efficient communication

Preference will be given to candidates with the following skills and experience:

• Experience with Go language or willingness to learn 

• Experience with GenAI accelerated coding

• Experience with video, computer vision (OpenCV) or machine learning

• Experience with continuous integration in a highly available production environment